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The October 29, 2026 security breach of Binance set a precedent as the largest digital heist in history, eclipsing the $1.5 billion Bybit hack from February 2025. The sheer scale of the incident—$6.36 billion USD in crypto stolen in approximately 20 minutes—has drawn intense scrutiny across the tech, security, and financial sectors.

1. Initial Breach Vector & Execution Speed.

The attack launched around 20:05 UTC on October 29, 2026. Most of the stolen assets were transferred out of Binance hot wallets across 10 distinct blockchain networks within a 20-minute window.

* Access Vector: Preliminary investigations suggest an initial compromise of an engineer’s endpoint device or service container environment. Binance CEO Richard Teng subsequently clarified that it was not a simple “one-click” privilege abuse by a single employee, but rather a coordinated, multi-stage operation targeting hot wallet signing workflows.

* Ethereum Delegation Exploit: On the Ethereum network, the attackers executed an EIP-7702 delegation, effectively turning a Binance hot wallet into a sweeper contract under their control using 50 pre-signed authorizations prepared hours prior.

* Multi-Chain Sweeping: Concurrently, hot wallets across 9 other blockchains (including Solana, XRP Ledger, and Optimism) executed signed transfers, draining liquidity almost instantaneously.

2. Threat Actor Attribution.

Major blockchain forensic firms—including TRM Labs, Chainalysis, and Pangolin Intelligence—have attributed the breach with high confidence to TraderTraitor (a specialized cyber unit associated with North Korea’s Lazarus Group).

Glutamine metabolic interaction network reshapes tumor immunotherapy resistance

Glutamine metabolism is often viewed as a cancer cell dependency, but its biological consequences depend on how glutamine and its carbon- and nitrogen-derived metabolites are used across malignant, immune, and stromal compartments. In this article, we introduce the glutamine metabolic interaction network (GMIN) as an analytical framework that integrates nutrient partitioning, competition, metabolic cooperation, and metabolite-mediated regulation while distinguishing candidate associations from functionally supported interactions. We review the biochemical, spatial, and treatment-dependent determinants of GMIN states, including emerging evidence for metabolic remodeling during immunotherapy resistance. Current clinical evidence neither supports uniform glutaminase 1 dependence nor establishes a single preferred strategy for glutamine-directed intervention. GMIN may therefore provide a framework for identifying context-specific glutamine-centered interactions and prioritizing them for state-resolved therapeutic targeting.

Unusual quantum states in six-layer graphene offer clues to superconductivity

Graphene, a material consisting of a sheet of carbon atoms arranged in a honeycomb pattern, has proved promising for various technological applications. Materials in which several layers of graphene are stacked together can exhibit different advantageous properties.

Researchers at Cornell University in the U.S., the National Institute for Materials Science in Japan and the Max Planck Institute for the Structure and Dynamics of Matter in Germany investigated the properties of rhombohedral hexalayer graphene, which includes six graphene layers shifted sideways in a repeating pattern.

Their paper, published in Nature Physics, reports various quantum states in this material under different conditions.